Learning Mixtures of Submodular Shells with Application to Document Summarization

16 October 2012

Papers citing "Learning Mixtures of Submodular Shells with Application to Document Summarization"

50 / 78 papers shown

Title
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 94 0 0 23 Dec 2024
Extended Deep Submodular Functions Seyed Mohammad Hosseini Arash Jamshid Seyed Mahdi Noormousavi M. J. Siavoshani Naeimeh Omidvar 38 0 0 18 Sep 2024
Duality induced by an embedding structure of determinantal point process H. Hino Keisuke Yano 27 0 0 17 Apr 2024
Pantypes: Diverse Representatives for Self-Explainable Models R. Kjærsgaard Ahcène Boubekki Line H. Clemmensen 76 2 0 14 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 87 1 0 13 Mar 2024
Practical Parallel Algorithms for Non-Monotone Submodular Maximization Shuang Cui Kai Han Jing Tang He Huang Xueying Li Aakas Zhiyuli Han Li 56 2 0 21 Aug 2023
Ordering for Non-Replacement SGD Yuetong Xu Baharan Mirzasoleiman 41 0 0 28 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms Bao Nguyen Viet Anh Nguyen 62 0 0 01 Jun 2023
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 96 27 0 08 Mar 2023
Feasible Recourse Plan via Diverse Interpolation D. Nguyen Ngoc H. Bui Viet Anh Nguyen 45 6 0 22 Feb 2023
Meeting Summarization: A Survey of the State of the Art L. P. Kumar Arman Kabiri 112 3 0 16 Dec 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 96 5 0 20 Oct 2022
Hardness of Maximum Likelihood Learning of DPPs Elena Grigorescu Brendan Juba K. Wimmer Ning Xie 31 5 0 24 May 2022
Data Representativity for Machine Learning and AI Systems Line H. Clemmensen R. Kjærsgaard 95 21 0 09 Mar 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 81 12 0 22 Feb 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 77 57 0 31 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 99 45 0 20 Dec 2021
On Submodular Contextual Bandits Dean Phillips Foster Alexander Rakhlin 22 3 0 03 Dec 2021
Facility Reallocation on the Line Bart de Keijzer D. Wojtczak 21 16 0 23 Mar 2021
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection Suraj Kothawade Vishal Kaushal Ganesh Ramakrishnan J. Bilmes Rishabh K. Iyer 77 50 0 27 Feb 2021
Probabilistic Generating Circuits Honghua Zhang Brendan Juba Guy Van den Broeck TPM 61 27 0 19 Feb 2021
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization Nima Anari T. Vuong 89 9 0 10 Feb 2021
Deep Submodular Networks for Extractive Data Summarization Suraj Kothawade Jiten Girdhar Chandrashekhar Lavania Rishabh K. Iyer 64 8 0 16 Oct 2020
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures Vishal Kaushal Suraj Kothawade Ganesh Ramakrishnan J. Bilmes Himanshu Asnani Rishabh K. Iyer 15 6 0 12 Oct 2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy Umanga Bista A. Mathews A. Menon Lexing Xie 18 2 0 06 Oct 2020
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 69 1 0 09 Aug 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 80 5 0 11 Jul 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes Honghua Zhang Steven Holtzen Guy Van den Broeck TPM 56 8 0 26 Jun 2020
Continuous Submodular Maximization: Beyond DR-Submodularity Moran Feldman Amin Karbasi 62 5 0 21 Jun 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models Aytunc Sahin Yatao Bian J. M. Buhmann Andreas Krause 49 6 0 01 Jun 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization Zhengyuan Liu Ke Shi Nancy F. Chen 51 8 0 29 Apr 2020
Forming Diverse Teams from Sequentially Arriving People Faez Ahmed John P. Dickerson M. Fuge 24 5 0 25 Feb 2020
Diversity and Inclusion Metrics in Subset Selection Margaret Mitchell Dylan K. Baker Nyalleng Moorosi Emily L. Denton Ben Hutchinson A. Hanna Timnit Gebru Jamie Morgenstern FaML 214 87 0 09 Feb 2020
Robust Submodular Minimization with Applications to Cooperative Modeling Rishabh K. Iyer 22 1 0 25 Jan 2020
Unbiased Evaluation of Deep Metric Learning Algorithms István Fehérvári Avinash Ravichandran Srikar Appalaraju 76 27 0 28 Nov 2019
An Algorithm for Multi-Attribute Diverse Matching Saba Ahmadi Faez Ahmed John P. Dickerson M. Fuge Samir Khuller 24 19 0 07 Sep 2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization Taehee Jung Dongyeop Kang L. Mentch Eduard H. Hovy 72 52 0 30 Aug 2019
A Unified Framework of Constrained Robust Submodular Optimization with Applications Rishabh K. Iyer 68 9 0 14 Jun 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions Joshua Robinson S. Sra Stefanie Jegelka 62 12 0 12 Jun 2019
Learning Nonsymmetric Determinantal Point Processes Mike Gartrell Victor-Emmanuel Brunel Elvis Dohmatob Syrine Krichene 51 43 0 30 May 2019
A General Framework for Edited Video and Raw Video Summarization Xuelong Li Bin Zhao Xiaoqiang Lu VGen 78 105 0 24 Apr 2019
Personalized Bundle List Recommendation Jinze Bai Chang Zhou Junshuai Song Xiaoru Qu Weiting An Zheng Li Jun Gao 54 82 0 03 Apr 2019
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance Vishal Kaushal Rishabh K. Iyer Khoshrav Doctor Anurag Sahoo Pratik Dubal Suraj Kothawade Rohan Mahadev Kunal Dargan Ganesh Ramakrishnan CVBM 72 16 0 03 Jan 2019
Deep Determinantal Point Processes Mike Gartrell Elvis Dohmatob Jon Alberdi 30 4 0 17 Nov 2018
Unconstrained Submodular Maximization with Constant Adaptive Complexity Lin Chen Moran Feldman Amin Karbasi 83 35 0 15 Nov 2018
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem Victor-Emmanuel Brunel 152 28 0 01 Nov 2018
A Temporally Sensitive Submodularity Framework for Timeline Summarization Sebastian Martschat K. Markert 42 38 0 18 Oct 2018
A Framework towards Domain Specific Video Summarization Vishal Kaushal Sandeep Subramanian Suraj Kothawade Rishabh K. Iyer Ganesh Ramakrishnan 70 24 0 24 Sep 2018
Exploiting local and global performance of candidate systems for aggregation of summarization techniques Parth Mehta Prasenjit Majumder 13 2 0 07 Sep 2018
Data Summarization at Scale: A Two-Stage Submodular Approach Marko Mitrovic Ehsan Kazemi Morteza Zadimoghaddam Amin Karbasi 69 45 0 07 Jun 2018